%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Yssouf, A.
%A Socolovschi, C.
%A Flaudrops, C.
%A Ndiath, M. O.
%A Sougoufara, S.
%A Dehecq, J. S.
%A Lacour, G.
%A Berenger, J. M.
%A Sokhna, Cheikh
%A Raoult, Didier
%A Parola, P.
%T Matrix-assisted laser desorption ionization - time of flight mass spectrometry : an emerging tool for the rapid identification of mosquito vectors
%D 2013
%L fdi:010060588
%G ENG
%J Plos One
%@ 1932-6203
%M ISI:000323378000096
%N 8
%P e72380
%R 10.1371/journal.pone.0072380
%U https://www.documentation.ird.fr/hor/fdi:010060588
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers17-10/010060588.pdf
%V 8
%W Horizon (IRD)
%X Background: The identification of mosquito vectors is typically based on morphological characteristics using morphological keys of determination, which requires entomological expertise and training. The use of protein profiling by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS), which is increasingly being used for the routine identification of bacteria, has recently emerged for arthropod identification. Methods: To investigate the usefulness of MALDI-TOF-MS as a mosquito identification tool, we tested protein extracts made from mosquito legs to create a database of reference spectra. The database included a total of 129 laboratory-reared and field-caught mosquito specimens consisting of 20 species, including 4 Aedes spp., 9 Anopheles spp., 4 Culex spp., Lutzia tigripes, Orthopodomyia reunionensis and Mansonia uniformis. For the validation study, blind tests were performed with 76 specimens consisting of 1 to 4 individuals per species. A cluster analysis was carried out using the MALDI-Biotyper and some spectra from all mosquito species tested. Results: Biomarker mass sets containing 22 and 43 masses have been detected from 100 specimens of the Anopheles, Aedes and Culex species. By carrying out 3 blind tests, we achieved the identification of mosquito vectors at the species level, including the differentiation of An. gambiae complex, which is possible using MALDI-TOF-MS with 1.8 as the cut-off identification score. A cluster analysis performed with all available mosquito species showed that MALDI-Biotyper can distinguish between specimens at the subspecies level, as demonstrated for An gambiae M and S, but this method cannot yet be considered a reliable tool for the phylogenetic study of mosquito species. Conclusions: We confirmed that even without any specific expertise, MALDI-TOF-MS profiling of mosquito leg protein extracts can be used for the rapid identification of mosquito vectors. Therefore, MALDI-TOF-MS is an alternative, efficient and inexpensive tool that can accurately identify mosquitoes collected in the field during entomological surveys.
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